Chan Zuckerberg Initiative
Postdoctoral Fellow, AI/ML (BHN - Chicago)
Chan Zuckerberg Initiative, Chicago, Illinois, United States, 60290
Postdoctoral Fellow, AI/ML (BHN - Chicago)
Join the Chan Zuckerberg Initiative’s Chan Zuckerberg Biohub Network to conduct cutting‑edge AI/ML research in computational structural biology. The role is based in Chicago.
Vision The CZ Biohub Network pursues large scientific challenges that cannot be tackled in conventional environments, enabling individual investigators to pursue their riskiest and most innovative ideas, and developing technologies that facilitate research by scientists and clinicians worldwide.
Responsibilities
Develop and apply state‑of‑the‑art AI/ML methods to model biological sequences and structures.
Design and implement cutting‑edge computational methods for modeling 3D structures of immune protein complexes.
Perform in‑depth analysis of computational 3D biomolecular models.
Benchmark structure‑ and sequence‑based predictive models for downstream tasks.
Coordinate with lab scientists to design and optimize validation strategies.
Contribute to scientific publications and presentations at conferences.
Qualifications
PhD in Computer Science, Computational Biology, Chemistry, or a related quantitative field.
2+ years of experience applying deep learning to model biological sequences and structures.
Strong knowledge of molecular and protein modeling tools (e.g., AlphaFold, Rosetta).
Strong knowledge of biological sequence foundation models (e.g., ESM‑2, Evoformer).
Proficiency in high‑performance computing systems for large‑scale modeling and simulation.
Experience with PyMol or other molecular visualization software.
History of writing clean, well‑documented, and reproducible code.
Excellent problem‑solving skills and ability to work independently.
Nice to have
Experience in team collaboration across computational and experimental domains.
Prior projects focused on modeling 3D biological structures and protein–protein interactions.
Track record of high‑impact publications in computational biology or related fields.
Familiarity with cheminformatics tools and drug‑discovery pipelines.
Compensation The base pay range is $75,000.00, with potential for growth based on skills and experience.
Benefits
Generous 401(k) match.
Paid time off to volunteer.
Family‑forming benefits support.
Relocation assistance for eligible candidates.
Seniority level Senior
Employment Type Full‑time
We are an equal‑opportunity employer and encourage applications from people of all backgrounds and identities.
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Vision The CZ Biohub Network pursues large scientific challenges that cannot be tackled in conventional environments, enabling individual investigators to pursue their riskiest and most innovative ideas, and developing technologies that facilitate research by scientists and clinicians worldwide.
Responsibilities
Develop and apply state‑of‑the‑art AI/ML methods to model biological sequences and structures.
Design and implement cutting‑edge computational methods for modeling 3D structures of immune protein complexes.
Perform in‑depth analysis of computational 3D biomolecular models.
Benchmark structure‑ and sequence‑based predictive models for downstream tasks.
Coordinate with lab scientists to design and optimize validation strategies.
Contribute to scientific publications and presentations at conferences.
Qualifications
PhD in Computer Science, Computational Biology, Chemistry, or a related quantitative field.
2+ years of experience applying deep learning to model biological sequences and structures.
Strong knowledge of molecular and protein modeling tools (e.g., AlphaFold, Rosetta).
Strong knowledge of biological sequence foundation models (e.g., ESM‑2, Evoformer).
Proficiency in high‑performance computing systems for large‑scale modeling and simulation.
Experience with PyMol or other molecular visualization software.
History of writing clean, well‑documented, and reproducible code.
Excellent problem‑solving skills and ability to work independently.
Nice to have
Experience in team collaboration across computational and experimental domains.
Prior projects focused on modeling 3D biological structures and protein–protein interactions.
Track record of high‑impact publications in computational biology or related fields.
Familiarity with cheminformatics tools and drug‑discovery pipelines.
Compensation The base pay range is $75,000.00, with potential for growth based on skills and experience.
Benefits
Generous 401(k) match.
Paid time off to volunteer.
Family‑forming benefits support.
Relocation assistance for eligible candidates.
Seniority level Senior
Employment Type Full‑time
We are an equal‑opportunity employer and encourage applications from people of all backgrounds and identities.
#J-18808-Ljbffr